Gabriel Gomes

C ACL Reds

Age 23 R/R 5'9" / 170 lbs ROK HR +16%BB +6% Svc 0.0 · Ctrl thru 2038

Overview

ROKPROSPECTMiLBFA 2039

ETA2029MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2024	20	ROKCIN	105	.280/.433/.402	2	3	51	—	.172/.308/.241
2025	21	ROKCIN	41	.216/.275/.270	0	0	-4	—	.162/.225/.216
2027PROJ0% MLB	23	MLBCIN	151	.207/.280/.282	1	2	61	0.0
2028PROJ30% MLB	24	MLBCIN	31	.211/.284/.297	0	0	65	-0.0
2029PROJ44% MLB	25	MLBCIN	97	.214/.287/.307	1	1	68	0.0

Next 3 projected WAR 0.0Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2038Service0.0First FA2039

2027MiLB2028MiLB2029MiLB2030MiLB2031MiLB2032MiLB2033Pre-Arb$0.9M2034Pre-Arb$1.0M+4

Skills · percentileMiLB Statcast 2025 Rk

Whiff%42

Speed37

Z-Con%33

ISO23

K%18

wOBA6

CompsBen Johnson (age 23) · Kyle Robinson (age 23) · Daniel Montano (age 22)

2027 FULL-SEASON PROJECTIONpark-neutral Marcel · 42 proj PA

wRC+†61

AVG/OBP/SLG.205 / .277 / .279

PA42

HR0

K%28

BB%7

ISO75

MLB%0%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$1M ctrl surplus

Tools · Contract

Contract ESTIMATED · service-time + WAR-based estimator (needs verification)

Status MiLB

MLB Debut 2033

Service 0 yrs (est)

Team Control Through 2038

First FA Year 2039

Year	Status	Salary	Proj WAR	Value	Surplus
2027	MiLB	still in minors · estimated debut 2033
2028	MiLB	still in minors · estimated debut 2033
2029	MiLB	still in minors · estimated debut 2033
2030	MiLB	still in minors · estimated debut 2033
2031	MiLB	still in minors · estimated debut 2033
2032	MiLB	still in minors · estimated debut 2033
2033	Pre-Arb	$0.9M	—	—	—
2034	Pre-Arb	$1.0M	—	—	—
2035	Ext	beyond projection horizon · no WAR estimate
2036	Ext	beyond projection horizon · no WAR estimate
2037	Ext	beyond projection horizon · no WAR estimate
2038	Ext	beyond projection horizon · no WAR estimate
Totals		$0.0M		$-0.2M	+$0.0M

Career Stats + Projections

Real MLB stats plus park-adjusted projections — this season (so far / rest / full), then future seasons and career totals.

show model inputsbasis chips: RAW = as recorded · CTX = with park/league context · A+C = actual + context combined · MLE = level/park-neutral

Methodology▸ how these numbers are built

All seasons translated to park-neutral MLB-equivalent (MLE) and combined per year. 2027 = actual YTD + projected ROS + total. 2028+ via Advanced Marcel + aging curve. Catcher framing: only 2027 Statcast framing is modeled (Baseball Savant server-caches the leaderboard to the current season); prior-year framing is unmodeled — projections for established framers may run below FG-DC by 1-3 WAR.

Year	Age	Lvl	Team	MLB%	PA	AB	H	2B	3B	HR	BB	SO	HBP	SB	CS	AVG	OBP	SLG	OPS	ISO	BABIP	K%	BB%	wOBA	wRC+	BAT	RUN	FLD	POS	REP	WAR
▸ Career — actual stats, one row per stint (as recorded, no adjustments)
2023	19	ROK	DSL Reds	—	49	32	12	2	0	1	15	7	2	3	0	375	592	531	1.123	156	458	14	31	505	122	—	—	—	—	—	—
2024	20	ROK	DSL Reds	—	105	82	23	4	0	2	17	15	5	3	0	280	433	402	835	122	318	14	16	383	51	—	—	—	—	—	—
2025	21	ROK	ACL Reds	—	41	37	8	0	1	0	1	12	2	0	0	216	275	270	545	54	308	29	2	247	-4	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2023	19	ROK MLE	DSL Reds	—	49	37	9	1	0	1	10	9	2	3	0	243	429	351	780	108	295	18	20	348	122	—	—	—	—	—	—
2024	20	ROK MLE	DSL Reds	—	105	87	15	3	0	1	12	19	5	3	0	172	308	241	549	69	195	18	11	244	51	—	—	—	—	—	—
2025	21	ROK MLE	ACL Reds	—	41	37	6	0	1	0	1	17	2	0	0	162	225	216	441	54	232	41	2	163	-4	—	—	—	—	—	—
2023	19	ROK MLE	DSL Reds	—	49	37	9	1	0	1	10	9	2	3	0	243	429	351	780	108	296	18	20	348	122	—	—	—	—	—	—
2023	19	ROK RAW	DSL Reds	—	49	32	12	2	0	1	15	7	2	3	0	375	592	531	1.123	156	458	14	31	505	122	—	—	—	—	—	—
2024	20	ROK MLE	DSL Reds	—	105	87	15	3	0	1	12	19	5	3	0	172	308	241	549	69	206	18	11	244	51	—	—	—	—	—	—
2024	20	ROK RAW	DSL Reds	—	105	82	23	4	0	2	17	15	5	3	0	280	433	402	835	122	318	14	16	383	51	—	—	—	—	—	—
2025	21	ROK MLE	ACL Reds	—	41	37	6	0	1	0	1	17	2	0	0	162	225	216	441	54	286	41	2	163	-4	—	—	—	—	—	—
2025	21	ROK RAW	ACL Reds	—	41	37	8	0	1	0	1	12	2	0	0	216	275	270	545	54	308	29	2	247	-4	—	—	—	—	—	—
2023	19	ROK MLE	DSL Reds	—	49	37	9	1	0	1	10	9	2	3	0	243	429	351	780	108	295	18	20	348	122	—	—	—	—	—	—
2024	20	ROK MLE	DSL Reds	—	105	87	15	3	0	1	12	19	5	3	0	172	308	241	549	69	195	18	11	244	51	—	—	—	—	—	—
2025	21	ROK MLE	ACL Reds	—	41	38	6	0	1	0	1	17	2	0	0	158	225	211	436	53	232	41	2	163	-4	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	20	ROK MLE	DSL Reds	—	105	87	15	3	0	1	12	19	5	3	0	172	308	241	549	69	195	18	11	244	51	—	—	—	—	—	—
2025	21	ROK MLE	ACL Reds	—	41	38	6	0	1	0	1	17	2	0	0	158	225	211	436	53	232	41	2	163	-4	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	23	MLB MLE	CIN	0%	151	136	27	4	1	1	11	43	3	2	1	207	280	282	561	75	288	28	7	258	61	-7	+0	+0	+3	+3	0.0
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	24	MLB MLE	CIN	30%	104	93	20	3	1	1	8	29	2	1	0	210	283	293	577	83	290	28	8	264	65	-4	+0	+0	+2	+2	-0.0
2029	25	MLB MLE	CIN	44%	220	198	43	7	2	3	16	61	4	2	1	213	286	303	589	90	290	28	7	269	68	-8	+0	+0	+4	+5	0.0
2030	26	MLB MLE	CIN	51%	304	273	58	9	2	4	23	84	5	3	1	215	288	311	599	96	290	28	8	273	71	-11	+0	+0	+5	+7	0.2
2031	27	MLB MLE	CIN	56%	351	315	68	11	2	5	27	96	6	3	1	215	289	313	602	98	289	27	8	274	72	-12	+0	+0	+6	+8	0.2
2032	28	MLB MLE	CIN	55%	380	342	74	12	2	6	29	104	6	3	1	215	288	313	601	98	288	27	8	274	71	-13	+0	-1	+7	+8	0.2
2033	29	MLB MLE	CIN	54%	390	351	74	12	2	5	30	108	6	2	1	213	285	307	592	94	287	28	8	270	69	-14	+0	-1	+7	+8	-0.0
2034	30	MLB MLE	CIN	53%	395	356	74	12	2	5	30	110	6	0	1	209	282	299	580	89	285	28	8	265	66	-16	-0	-2	+7	+9	-0.3
2028	24	MLB CTX	CIN	30%	31	28	5	1	0	0	2	9	1	0	0	211	284	297	581	86	290	29	6	266	65	-1	+0	+0	+1	+1	-0.0
2029	25	MLB CTX	CIN	44%	97	88	19	3	1	1	7	27	2	1	0	214	287	307	594	93	291	28	7	271	68	-4	+0	+0	+2	+2	0.0
2030	26	MLB CTX	CIN	51%	154	138	30	5	1	2	12	42	3	2	1	216	289	316	605	99	291	27	8	275	71	-5	+0	+0	+3	+3	0.1
2031	27	MLB CTX	CIN	56%	197	177	38	6	1	3	15	54	3	2	1	217	290	318	608	101	290	27	8	277	72	-7	+0	+0	+4	+4	0.1
2032	28	MLB CTX	CIN	55%	210	189	40	6	1	3	16	57	3	1	1	217	290	318	608	102	289	27	8	276	71	-7	-0	-0	+4	+5	0.1
2033	29	MLB CTX	CIN	54%	209	188	40	6	1	3	16	58	3	1	0	214	287	312	598	97	288	28	8	272	69	-8	+0	-1	+4	+5	-0.0
2034	30	MLB CTX	CIN	53%	208	187	39	6	1	3	16	58	3	0	0	211	283	303	586	92	286	28	8	268	66	-8	+0	-1	+4	+5	-0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1106	995	211	33	6	15	84	305	18	7	3	212	285	303	588	90	288	28	8	273	68	-40	+0	-2	+20	+24	0.1
/ 162G	—	A+C		—	650	585	124	19	4	9	49	179	11	4	2	212	285	304	590	92	287	28	8	273	68	-24	+0	-1	+12	+14	0.1
Career	—	MLE		—	2381	2127	448	71	14	31	189	649	45	20	6	211	289	301	590	90	285	27	8	269	68	-80	+0	-4	+39	+47	0.2
/ 162G	—	MLE		—	650	581	122	19	4	8	52	177	12	5	2	210	289	298	587	88	285	27	8	269	68	-24	+0	-1	+12	+14	0.1

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Curt Casalilast yr '24 career totals — 10 seasons, 1,566 PA	2.4	1,566	47	2	217	311	367	+28	+19	7.8	7.9
/162	664	20	1	+11.9	+7.9	3.3	pk7: 8
#2Sandy Leónlast yr '22 career totals — 9 seasons, 1,648 PA	2.5	1,648	31	1	209	276	313	+29	+56	6.4	6.7
/162	664	12	0	+11.9	+22.4	2.6	pk7: 7
#3Gabby Street'04-'31 * career totals — 6 seasons, 1,677 PA	2.5	1,677	2	17	210*	281*	325*	+30	+0	3.1	3.3
/162	664	1	7	+11.8	+0.0	1.2	pk7: 3
#4Paul Richards'32-'46 * career totals — 7 seasons, 1,602 PA	2.4	1,602	15	15	218*	296*	337*	+29	+0	2.3	2.5
/162	664	6	6	+11.9	+0.0	1.0	pk7: 3
#5Malachi Kittridge'01-'06 * career totals — 6 seasons, 1,664 PA	2.5	1,664	4	11	219*	281*	319*	+30	+0	1.3	1.3
/162	664	2	4	+11.9	+0.0	0.5	pk7: 1
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 4 projected seasons	1.7	1,150	16	8	214	284	308	+21	+16	1.0	1.0
/162	664	9	5	+11.9	+9.2	0.6	pk7: 1
#6Chad Moeller'00-'10 * career totals — 10 seasons, 1,539 PA	2.3	1,539	29	2	218*	277*	341*	+27	-0	-0.2	1.0
/162	664	13	1	+11.6	-0.1	-0.1	pk7: 2

Career Path Comps

What happened to players with a similar stat profile at this age · Y-axis: wRC+ (100 = league avg, 150 = elite, 80 = below) · Bands: P10–P90 outer, P25–P75 inner · Gold: OGILVIE projection

		Scouting				At Match Age									Next 3 Yrs									Peak 3 Yrs
Comp	Age	HIT	PWR	SPD	EYE	AVG/OBP/SLG	ISO	BABIP	HR	SB	K%	BB%	wRC+	WAR	AVG/OBP/SLG	ISO	BABIP	HR	SB	K%	BB%	wRC+	WAR	AVG/OBP/SLG	ISO	BABIP	HR	SB	K%	BB%	wRC+	WAR
Gabriel Gomes (OGILVIE)	23	—	—	—	—	205/277/279	75	288	0	0	28%	7%	61	-0.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Ben Johnson 2017 · A	23	36→30	40→50	43→45	32	175/226/267	92	302	7	6	42%	5%	38	-3.2	183/235/265	82	342	7	12	45%	5%	41	-3.0	125/178/160	34	262	5	26	51%	4%	-8	-1.5
✕Kyle Robinson 2012 · A	23	34	41→45	50→30	39	175/225/279	104	243	8	4	31%	5%	40	-3.0	201/249/288	87	294	5	5	31%	6%	51	-2.3	201/249/297	96	300	5	1	33%	6%	53	-0.9
✕Daniel Montano 2021 · A	22	35→45	39→45	48→50	37	178/219/266	87	253	6	10	32%	5%	34	-3.5	216/282/320	104	328	8	8	33%	8%	71	-0.8	213/289/324	112	322	9	6	34%	9%	73	-0.5
✕Argenis Aldazoro 2014 · A	21	35	39→55	47→50	38	177/221/263	87	237	6	7	28%	4%	35	-3.4	209/242/315	106	277	10	8	27%	4%	54	-2.0	216/244/339	122	276	12	9	26%	4%	57	-0.6
✕James Simmons 2009 · A	23	39	39→50	52→55	31	181/227/264	82	323	6	16	44%	5%	37	-3.3	200/254/310	110	335	11	15	41%	6%	59	-1.7	196/254/350	155	346	21	18	47%	6%	65	-0.5
✕Jimmy Pickens 2015 · A	23	36	39→40	48→45	35	178/223/263	85	276	6	7	36%	5%	36	-3.4	194/239/278	84	304	5	9	36%	5%	45	-2.7	190/227/277	87	288	6	8	35%	4%	37	-2.0
✕Luis Tejada 2015 · A	22	40→44	37→45	51→50	36	194/235/263	68	271	4	10	29%	4%	39	-3.1	216/261/317	101	274	9	8	24%	5%	62	-1.4	214/262/322	108	262	10	7	22%	5%	61	-0.8
✕Josh Lester 2017 · A	23	40→44	39→55	50→40	35	192/237/273	81	293	6	7	36%	5%	42	-2.9	211/254/338	127	276	13	3	28%	5%	65	-1.2	201/255/359	158	258	20	1	30%	6%	70	-0.7
✕Spencer Griffin 2019 · A	22	40→37	36→40	48→50	34	174/235/238	64	334	3	8	46%	7%	34	-3.5	177/242/261	84	328	6	11	44%	7%	43	-2.8	155/224/238	83	286	7	12	45%	7%	29	-2.2
✕Stephen Cardullo 2011 · A	23	42→45	36→50	45	37	191/249/253	62	316	3	6	38%	6%	43	-2.8	204/263/324	120	284	12	5	31%	6%	65	-1.2	210/262/330	120	246	11	6	19%	6%	65	-0.6
✕Andrew Ray 2013 · A	22	35	42→55	50	32	182/214/289	107	272	9	4	36%	4%	38	-3.2	185/220/306	121	304	12	4	42%	4%	45	-2.7	160/192/287	127	260	15	3	44%	3%	28	-1.4
✕Zach Zubia 2022 · A	24	44→33	36→45	48→30	34	182/248/243	62	366	3	5	47%	7%	41	-3.0	194/297/311	117	303	14	2	36%	12%	76	-0.4	179/289/300	121	266	16	1	36%	13%	69	-0.5
✕Melky Mesa 2009 · A	22	38→46	40→55	46→55	31	180/228/269	89	313	7	7	43%	5%	39	-3.1	195/254/335	140	299	15	14	38%	6%	65	-1.2	211/269/364	153	299	17	21	34%	6%	74	-0.5
✕Kelvin De Leon 2013 · A	22	37→31	39→45	41→40	35	183/229/265	82	281	8	4	36%	5%	38	-3.2	196/241/286	90	286	8	6	33%	5%	48	-2.5	176/213/259	83	247	9	4	32%	4%	28	-1.8
✕Yordi Francisco 2019 · A	22	38	36→45	47→55	38	183/240/249	66	258	4	9	30%	5%	39	-3.1	193/248/286	93	292	7	12	34%	5%	51	-2.3	158/213/264	106	240	9	19	37%	5%	32	-1.4
✕Isaac Galloway 2013 · A	23	35→42	42→45	47→55	28	182/208/284	102	283	10	10	39%	3%	34	-3.5	194/220/288	94	285	7	16	34%	3%	39	-3.1	205/252/344	139	272	17	25	31%	5%	63	-0.6
✕Juan Ramirez 2013 · A	22	38	38→30	49→45	33	183/229/263	80	282	4	4	35%	4%	38	-3.2	193/238/262	69	351	4	7	44%	4%	40	-3.0	165/200/197	32	342	3	7	50%	3%	9	-1.2
✕Tim Ferguson 2012 · A	23	39→49	38→40	46→50	38	190/235/260	70	271	7	10	32%	5%	39	-3.1	215/262/296	81	279	6	11	24%	6%	57	-1.8	224/270/301	77	278	6	12	21%	5%	58	-0.8
✕Jose Paniagua 2015 · A	21	35	38→45	50→55	46	171/238/253	82	230	5	12	27%	8%	40	-3.1	191/242/280	89	274	7	8	31%	6%	47	-2.6	177/211/272	96	252	10	2	33%	3%	30	-1.1
✕Jordan Renz 2006 · A	23	35→28	41→45	43→45	34	174/225/260	86	291	10	7	42%	6%	36	-3.4	174/221/308	134	294	18	5	45%	5%	46	-2.6	158/204/302	144	258	20	4	46%	4%	37	-2.5

Gabriel Gomes

Career Stats + Projections

Career Comps

Career Path Comps